Machine Learning

Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review

Alaa Abd-alrazaq, Israa Abuelezz, Asma Hassan, AlHasan AlSammarraie, Dari Alhuwail, Sara Irshaidat, Hashem Abu Serhan, Arfan Ahmed, Sadam Alabed Alrazak, Mowafa Househ

JMIR Serious Games 2022 (Nov 29); 10(4):e39840

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Digital Pattern Recognition for the Identification of Various Hypospadias Parameters via an Artificial Neural Network: Protocol for the Development and Validation of a System and Mobile App

Irfan Wahyudi, Chandra Prasetyo Utomo, Samsuridjal Djauzi, Muhamad Fathurahman, Gerhard Reinaldi Situmorang, Arry Rodjani, Kevin Yonathan, Budi Santoso

JMIR Res Protoc 2022 (Nov 25); 11(11):e42853

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Investigating the Effects of Hyperbaric Oxygen Treatment in Necrotizing Soft Tissue Infection With Transcriptomics and Machine Learning (the HBOmic Study): Protocol for a Prospective Cohort Study With Data Validation

Julie Vinkel, Leonor Rib, Alfonso Buil, Morten Hedetoft, Ole Hyldegaard

JMIR Res Protoc 2022 (Nov 25); 11(11):e39252

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Codeveloping and Evaluating a Campaign to Reduce Dementia Misconceptions on Twitter: Machine Learning Study

Sinan Erturk, Georgie Hudson, Sonja M Jansli, Daniel Morris, Clarissa M Odoi, Emma Wilson, Angela Clayton-Turner, Vanessa Bray, Gill Yourston, Andrew Cornwall, Nicholas Cummins, Til Wykes, Sagar Jilka

JMIR Infodemiology 2022 (Nov 22); 2(2):e36871

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Medical Text Simplification Using Reinforcement Learning (TESLEA): Deep Learning–Based Text Simplification Approach

Atharva Phatak, David W Savage, Robert Ohle, Jonathan Smith, Vijay Mago

JMIR Med Inform 2022 (Nov 18); 10(11):e38095

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Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study

Natasha Alexander, Catherine Aftandilian, Lin Lawrence Guo, Erin Plenert, Jose Posada, Jason Fries, Scott Fleming, Alistair Johnson, Nigam Shah, Lillian Sung

JMIR Med Inform 2022 (Nov 17); 10(11):e40039

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Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study

Queralt Miró Catalina, Aïna Fuster-Casanovas, Jordi Solé-Casals, Josep Vidal-Alaball

JMIR Res Protoc 2022 (Nov 16); 11(11):e39536

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The Use of Machine Learning to Reduce Overtreatment of the Axilla in Breast Cancer: Retrospective Cohort Study

Felix Jozsa, Rose Baker, Peter Kelly, Muneer Ahmed, Michael Douek

JMIR Perioper Med 2022 (Nov 15); 5(1):e34600

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Training a Deep Contextualized Language Model for International Classification of Diseases, 10th Revision Classification via Federated Learning: Model Development and Validation Study

Pei-Fu Chen, Tai-Liang He, Sheng-Che Lin, Yuan-Chia Chu, Chen-Tsung Kuo, Feipei Lai, Ssu-Ming Wang, Wan-Xuan Zhu, Kuan-Chih Chen, Lu-Cheng Kuo, Fang-Ming Hung, Yu-Cheng Lin, I-Chang Tsai, Chi-Hao Chiu, Shu-Chih Chang, Chi-Yu Yang

JMIR Med Inform 2022 (Nov 10); 10(11):e41342

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A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort Study

Xiangzhou Zhang, Yunfei Xue, Xinyu Su, Shaoyong Chen, Kang Liu, Weiqi Chen, Mei Liu, Yong Hu

JMIR Med Inform 2022 (Nov 09); 10(11):e38053

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Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial

Christian A Webb, Matthew J Hirshberg, Richard J Davidson, Simon B Goldberg

J Med Internet Res 2022 (Nov 08); 24(11):e41566

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Developing an Automated Assessment of In-session Patient Activation for Psychological Therapy: Codevelopment Approach

Sam Malins, Grazziela Figueredo, Tahseen Jilani, Yunfei Long, Jacob Andrews, Mat Rawsthorne, Cosmin Manolescu, Jeremie Clos, Fred Higton, David Waldram, Daniel Hunt, Elvira Perez Vallejos, Nima Moghaddam

JMIR Med Inform 2022 (Nov 08); 10(11):e38168

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Classifying Comments on Social Media Related to Living Kidney Donation: Machine Learning Training and Validation Study

Mohsen Asghari, Joshua Nielsen, Monica Gentili, Naoru Koizumi, Adel Elmaghraby

JMIR Med Inform 2022 (Nov 08); 10(11):e37884

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Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns

Mladjan Jovanovic, Goran Mitrov, Eftim Zdravevski, Petre Lameski, Sara Colantonio, Martin Kampel, Hilda Tellioglu, Francisco Florez-Revuelta

J Med Internet Res 2022 (Nov 04); 24(11):e36553

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Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature With Unsupervised Word Embeddings and Machine Learning: Evidence-Based Study

Ridam Pal, Harshita Chopra, Raghav Awasthi, Harsh Bandhey, Aditya Nagori, Tavpritesh Sethi

J Med Internet Res 2022 (Nov 02); 24(11):e34067

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Automatic Screening of Pediatric Renal Ultrasound Abnormalities: Deep Learning and Transfer Learning Approach

Ming-Chin Tsai, Henry Horng-Shing Lu, Yueh-Chuan Chang, Yung-Chieh Huang, Lin-Shien Fu

JMIR Med Inform 2022 (Nov 02); 10(11):e40878

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The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease

Steven Simon, Divneet Mandair, Abdel Albakri, Alison Fohner, Noah Simon, Leslie Lange, Mary Biggs, Kenneth Mukamal, Bruce Psaty, Michael Rosenberg

JMIR Cardio 2022 (Nov 02); 6(2):e38040

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The Impact of Artificial Intelligence on Health Equity in Oncology: Scoping Review

Paul Istasy, Wen Shen Lee, Alla Iansavichene, Ross Upshur, Bishal Gyawali, Jacquelyn Burkell, Bekim Sadikovic, Alejandro Lazo-Langner, Benjamin Chin-Yee

J Med Internet Res 2022 (Nov 01); 24(11):e39748

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Ethical Implications of the Use of Language Analysis Technologies for the Diagnosis and Prediction of Psychiatric Disorders

Alexandre Andrade Loch, Ana Caroline Lopes-Rocha, Anderson Ara, João Medrado Gondim, Guillermo A Cecchi, Cheryl Mary Corcoran, Natália Bezerra Mota, Felipe C Argolo

JMIR Ment Health 2022 (Nov 01); 9(11):e41014

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COVID-19 Health Beliefs Regarding Mask Wearing and Vaccinations on Twitter: Deep Learning Approach

Si Yang Ke, E Shannon Neeley-Tass, Michael Barnes, Carl L Hanson, Christophe Giraud-Carrier, Quinn Snell

JMIR Infodemiology 2022 (Oct 31); 2(2):e37861

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